How to Use the HelpCrunch MCP in CrewAI

Q: How do I link the HelpCrunch server to my CrewAI crew?

Pass the server URL to the mcps parameter in your Agent definition. CrewAI will automatically load the tools and make them available to your agents.

Q: Does CrewAI support selective tool exposure for HelpCrunch?

You can use toolfilter in the CrewAI MCP module. This allows you to restrict which tools a specific agent can use, like limiting a junior agent to only reading messages.

Deploy a specialized crew of AI agents to manage HelpCrunch support operations with automated research and resolution.

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Connect HelpCrunch MCP to CrewAI

Create your Vinkius account to connect HelpCrunch to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup HelpCrunch with CrewAI

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Perplexity

CrewAI team specialization

Assign distinct roles to your agents for support tasks. One agent uses `list_chat_messages` to analyze the query, while another uses `send_message` to provide the final answer. This division of labor makes your support operations more precise. The CrewAI framework manages the memory shared between these agents.

Autonomous escalation in CrewAI

Let your agents identify and escalate complex issues. If an agent detects a technical bug, it uses `add_customer_tag` to label the chat and `update_chat_assignee` to move it to a human supervisor. This keeps your support flow moving. Your CrewAI agents handle the triage so your staff only touches the hard cases.

Departmental routing

Direct inquiries to the right team using `list_departments`. Your agents check the department list and assign chats accordingly using `update_chat_assignee`. This ensures the right experts get the right tickets. CrewAI agents perform this routing in the background as new messages enter the system.

Setup guide

Set up HelpCrunch MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke HelpCrunch tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="HelpCrunch Analyst",
    goal="Access and analyze HelpCrunch data via MCP.",
    backstory="Expert analyst with direct HelpCrunch access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent HelpCrunch transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="HelpCrunch Analyst",
        goal="Access and analyze HelpCrunch data via MCP.",
        backstory="Expert analyst with direct HelpCrunch access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent HelpCrunch transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HelpCrunch. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about HelpCrunch MCP in CrewAI

Pass the server URL to the `mcps` parameter in your Agent definition. CrewAI will automatically load the tools and make them available to your agents.

Yes, CrewAI uses shared memory. Once one agent fetches chat details, the rest of the crew can access that information for their own tasks.

You can use `tool_filter` in the CrewAI MCP module. This allows you to restrict which tools a specific agent can use, like limiting a junior agent to only reading messages.

The agent logs will show every tool call made. You can review these logs to see exactly when an agent updated a chat status or added a tag.

The server uses a secure, ephemeral connection. Your HelpCrunch chat data stays within the execution context of the agent and is never logged externally.

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